Perspectives on industrial-internet-driven intelligent optimized manufacturing mode for process industries

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Abstract

In this paper, the potential of the industrial internet in representative countries and the current status of intelligent optimized manufacturing for process industries are first reviewed, where the opportunities and challenges introduced by the industrial internet are analyzed. Second, by vertically considering the integration from end to end and horizontally introducing the important infrastructure of intelligent manufacturing using industrial internet, the perspectives of industrial-internet-driven intelligent mode for process industries are discussed. The intelligent optimized manufacturing mode for process industries in industrial-internet-driven manufacturing enterprises consists of the following. i) The manufacturing process is transformed into intelligent optimized manufacturing of the whole process. ii) The centralized enterprise resource planning (ERP) and manufacturing execution system (MES) are transformed into an integrated digital-twin-driven decentralized management and decision-making system for production factors. iii) The traditional process-control system-MES-ERP three-layer structure is transformed into an integrated two-layer structure decision-making and control system that is composed of an autonomous-control and intelligent decision-making system with human-machine cooperation. The optimized life-cycle cross-enterprise intelligent optimized manufacturing mode for process industries can achieve global collaborative optimization of the entire production chain of demand, design, purchasing, production, sales, and service. Finally, the research fields that need to be developed in the future are presented.

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APA

Chai, T., Liu, Q., Ding, J., Lu, S., Song, Y., & Zhang, Y. (2022, January 1). Perspectives on industrial-internet-driven intelligent optimized manufacturing mode for process industries. Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica. Chinese Academy of Sciences. https://doi.org/10.1360/SST-2021-0405

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